/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

package org.apache.spark.sql.catalyst.optimizer

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.catalyst.rules.RuleExecutor

/**
 * An Optimizer without all `spark.sql.extensions`
 */
class SubmarineSparkOptimizer(spark: SparkSession) extends RuleExecutor[LogicalPlan] {

  override def batches: Seq[Batch] = {
    val optimizer = spark.sessionState.optimizer
    val extRules = optimizer.extendedOperatorOptimizationRules
    optimizer.batches.map { batch =>
      val ruleSet = batch.rules.toSet -- extRules
      Batch(batch.name, FixedPoint(batch.strategy.maxIterations), ruleSet.toSeq: _*)
    }
  }
}
